Thermo Scientific Orbitrap LC-MS workflows lead the way to accelerate your journey from discovery research to clinical applications, and support your success every step of the way.

Translational research is accelerating the conversion of basic scientific knowledge into tests, treatments and practices that improve human health. Translational proteomics most frequently involves the discovery of potential clinically relevant protein biomarkers and moves as quickly as possible from positive identification to verification and validation.

The complexities of disease research require a new level of collaboration among researchers, labs, and integration of various omics fields. We partner with key thought leaders to bring you the most current approaches and best practices in this field.

Standardized and reproducible workflows for large scale proteomics

Thermo Fisher is uniquely positioned to deliver differentiated solutions for translational proteomics researchers. Two analytical proteomics workflows have been developed that deliver reproducibility and standardization across the clinical research field.

The tandem mass tag (TMT) workflow is a large scale, multiplexed quantitative proteomics approach that uses isobaric tags or labels to enable high-throughput quantitative screening. It is the most precise and reproducible quantitative workflow in proteomics.

Precursor level quantitation is the new standard for label-free quantitation. Using this approach, missing quantitative values are reduced in order to provide complete quantitation. This workflow delivers reproducibility and accuracy for large sample cohorts and is designed for flexibility serving the proteomics and clinical research community.

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There are two approaches commonly used for precursor level quantitation: DDA+ (data dependent acquisition) and HR-DIA (high-resolution data-independent acquisition).

The HR-DIA is a complementary LFQ workflow suited for large-scale studies, due to its ability to rapidly identify and reproducibly quantify all detectable peptides within an LC-MS analysis. Biognosys’ Spectronaut software provides an efficient pipeline for spectral library creation and processing of large DIA datasets.

The tandem mass tag (TMT) workflow is a large scale, multiplexed quantitative proteomics approach that uses isobaric tags or labels to enable high-throughput quantitative screening. It is the most precise and reproducible quantitative workflow in proteomics.

Precursor level quantitation is the new standard for label-free quantitation. Using this approach, missing quantitative values are reduced in order to provide complete quantitation. This workflow delivers reproducibility and accuracy for large sample cohorts and is designed for flexibility serving the proteomics and clinical research community.

Click to enlarge

There are two approaches commonly used for precursor level quantitation: DDA+ (data dependent acquisition) and HR-DIA (high-resolution data-independent acquisition).

The HR-DIA is a complementary LFQ workflow suited for large-scale studies, due to its ability to rapidly identify and reproducibly quantify all detectable peptides within an LC-MS analysis. Biognosys’ Spectronaut software provides an efficient pipeline for spectral library creation and processing of large DIA datasets.